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Dataset Information

A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study.


ABSTRACT:

Background

Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions.

Objective

The aim of this study was to develop predictive models for influenza vaccination behavior among children in China.

Methods

We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random

SUBMITTER: Wang Q 

PROVIDER: S-EPMC11217706 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature